Models_tag
Merly Klaas
2023-06-08
Models
The plot details the top 10 absolute effects for each demographic variable listed above, as drawn from Gregor’s work.
## # A tibble: 5 × 3
## # Groups: tag [5]
## tag value val
## <chr> <dbl> <int>
## 1 practices_other_leaders 1 4
## 2 practices_heritage_language 1 17
## 3 practices_enriched_virtual 1 19
## 4 practices_translanguaging 1 19
## 5 practices_flipped_classroom 1 24##
## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 1).
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## Chain 1: Gradient evaluation took 0.000323 seconds
## Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 3.23 seconds.
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 2).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 3).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 4).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 2).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 2).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 3).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 4).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 1).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 2).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 3).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 4).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 1).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 2).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 3).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 4).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 1).
## Chain 1:
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 2).
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## Chain 2: Gradient evaluation took 5.2e-05 seconds
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 3).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 4).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 1).
## Chain 1:
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 2).
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## Chain 2: Gradient evaluation took 4.5e-05 seconds
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 3).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 4).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 1).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 1).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 2).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 4).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 1).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 2).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 1).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 2).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 3).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 4).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 1).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 2).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 3).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 4).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 1).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 2).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 1).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 2).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 3).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 1).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 1).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 2).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 3).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 4).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 1).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 2).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 3).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 4).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 1).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 2).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 3).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 4).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 1).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 2).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 3).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 1).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 2).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 3).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 1).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 3).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 4).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 1).
## Chain 1:
## Chain 1: Gradient evaluation took 0.000162 seconds
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 2).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 3).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 4).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 1).
## Chain 1:
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 2).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 3).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 4).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 1).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 2).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 3).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 1).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 2).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 3).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 1).
## Chain 1:
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 3).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 4).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 1).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 2).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 3).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 4).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 1).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 2).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 3).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 1).
## Chain 1:
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 2).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 1).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 2).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 1).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 3).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 4).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 1).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 2).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 3).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 4).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 1).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 2).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 3).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 1).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 1).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 3).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 1).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 2).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 1).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 2).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 1).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 1).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 1).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 4).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 1).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 2).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 3).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 1).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 4).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 1).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 2).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 3).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 4).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 1).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 2).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 3).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 1).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 1).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 4).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 1).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 2).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 3).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 4).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 1).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 2).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 3).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 4).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 1).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 2).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 3).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 1).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 1).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 4).
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## Chain 4: Gradient evaluation took 5e-05 seconds
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 1).
## Chain 1:
## Chain 1: Gradient evaluation took 5.5e-05 seconds
## Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.55 seconds.
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## Chain 1:
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 2).
## Chain 2:
## Chain 2: Gradient evaluation took 4.5e-05 seconds
## Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.45 seconds.
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 3).
## Chain 3:
## Chain 3: Gradient evaluation took 4.9e-05 seconds
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 4).
## Chain 4:
## Chain 4: Gradient evaluation took 6e-05 seconds
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 1).
## Chain 1:
## Chain 1: Gradient evaluation took 5.4e-05 seconds
## Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.54 seconds.
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 2).
## Chain 2:
## Chain 2: Gradient evaluation took 6.6e-05 seconds
## Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.66 seconds.
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 3).
## Chain 3:
## Chain 3: Gradient evaluation took 6.5e-05 seconds
## Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.65 seconds.
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 4).
## Chain 4:
## Chain 4: Gradient evaluation took 5.1e-05 seconds
## Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.51 seconds.
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 1).
## Chain 1:
## Chain 1: Gradient evaluation took 5.9e-05 seconds
## Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.59 seconds.
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 2).
## Chain 2:
## Chain 2: Gradient evaluation took 5.3e-05 seconds
## Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.53 seconds.
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 3).
## Chain 3:
## Chain 3: Gradient evaluation took 6.2e-05 seconds
## Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.62 seconds.
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 4).
## Chain 4:
## Chain 4: Gradient evaluation took 4.9e-05 seconds
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 1).
## Chain 1:
## Chain 1: Gradient evaluation took 7.5e-05 seconds
## Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.75 seconds.
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 2).
## Chain 2:
## Chain 2: Gradient evaluation took 4.5e-05 seconds
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 3).
## Chain 3:
## Chain 3: Gradient evaluation took 5.8e-05 seconds
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 4).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 1).
## Chain 1:
## Chain 1: Gradient evaluation took 5.7e-05 seconds
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 2).
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## Chain 2: Gradient evaluation took 4.3e-05 seconds
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 3).
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## SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 4).
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## Chain 4:## # A tibble: 530 × 4
## # Groups: term [53]
## response term estimate std.error
## <chr> <chr> <dbl> <dbl>
## 1 practices_dual_language (Intercept) -3.17 1.08
## 2 practices_community_partnerships (Intercept) 2.97 1.13
## 3 practices_flex (Intercept) -2.94 1.13
## 4 practices_families_leaders (Intercept) -2.76 1.11
## 5 practices_a_la_carte (Intercept) -2.74 1.09
## 6 practices_pbl (Intercept) 2.32 1.07
## 7 practices_design_marginalized (Intercept) 2.26 1.07
## 8 practices_sel_integrated (Intercept) 2.25 1.09
## 9 practices_station_rotation (Intercept) -2.23 1.06
## 10 practices_restorative (Intercept) 2.18 1.09
## # ℹ 520 more rows## [1] "(Intercept)" "divisionEast South Central"
## [3] "divisionMiddle Atlantic" "divisionMountain"
## [5] "divisionNew England" "divisionPacific"
## [7] "divisionSouth Atlantic" "divisionWest North Central"
## [9] "divisionWest South Central" "regionNortheast"
## [11] "regionSouth" "regionWest"
## [13] "school_stateArizona" "school_stateArkansas"
## [15] "school_stateCalifornia" "school_stateColorado"
## [17] "school_stateConnecticut" "school_stateDelaware"
## [19] "school_stateDistrict of Columbia" "school_stateFlorida"
## [21] "school_stateGeorgia" "school_stateHawaii"
## [23] "school_stateIdaho" "school_stateIllinois"
## [25] "school_stateIndiana" "school_stateIowa"
## [27] "school_stateKansas" "school_stateKentucky"
## [29] "school_stateLouisiana" "school_stateMaine"
## [31] "school_stateMaryland" "school_stateMassachusetts"
## [33] "school_stateMichigan" "school_stateMinnesota"
## [35] "school_stateMissouri" "school_stateNew Hampshire"
## [37] "school_stateNew Jersey" "school_stateNew Mexico"
## [39] "school_stateNew York" "school_stateNorth Carolina"
## [41] "school_stateNorth Dakota" "school_stateOhio"
## [43] "school_statePennsylvania" "school_stateRhode Island"
## [45] "school_stateSouth Carolina" "school_stateSouth Dakota"
## [47] "school_stateTennessee" "school_stateTexas"
## [49] "school_stateUtah" "school_stateVermont"
## [51] "school_stateVirginia" "school_stateWashington"
## [53] "school_stateWisconsin"Plot above is clunky, so I am separating into different plots:
Run code below only to resave files
## $`(Intercept)`
##
## $`divisionEast South Central`
##
## $`divisionMiddle Atlantic`
##
## $divisionMountain
##
## $`divisionNew England`
##
## $divisionPacific
##
## $`divisionSouth Atlantic`
##
## $`divisionWest North Central`
##
## $`divisionWest South Central`
##
## $regionNortheast
##
## $regionSouth
##
## $regionWest
##
## $school_stateArizona
##
## $school_stateArkansas
##
## $school_stateCalifornia
##
## $school_stateColorado
##
## $school_stateConnecticut
##
## $school_stateDelaware
##
## $`school_stateDistrict of Columbia`
##
## $school_stateFlorida
##
## $school_stateGeorgia
##
## $school_stateHawaii
##
## $school_stateIdaho
##
## $school_stateIllinois
##
## $school_stateIndiana
##
## $school_stateIowa
##
## $school_stateKansas
##
## $school_stateKentucky
##
## $school_stateLouisiana
##
## $school_stateMaine
##
## $school_stateMaryland
##
## $school_stateMassachusetts
##
## $school_stateMichigan
##
## $school_stateMinnesota
##
## $school_stateMissouri
##
## $`school_stateNew Hampshire`
##
## $`school_stateNew Jersey`
##
## $`school_stateNew Mexico`
##
## $`school_stateNew York`
##
## $`school_stateNorth Carolina`
##
## $`school_stateNorth Dakota`
##
## $school_stateOhio
##
## $school_statePennsylvania
##
## $`school_stateRhode Island`
##
## $`school_stateSouth Carolina`
##
## $`school_stateSouth Dakota`
##
## $school_stateTennessee
##
## $school_stateTexas
##
## $school_stateUtah
##
## $school_stateVermont
##
## $school_stateVirginia
##
## $school_stateWashington
##
## $school_stateWisconsin
## Showing tags by Division
East North Central is missing. Not sure what is going on, tried to tweak but no luck so far.
Showing tags by Region
*Midwest region is missing. Not sure what is going on. The trends of endorsing tag is below one.
